import OAI.Probability.InvariantIsing.Gaussian.GaussianGramColumns import OAI.Probability.InvariantIsing.Spectral.PositiveRankOneQuadratic namespace OAI /-! Exact leave-one-column identities at the physical Gaussian normalization. -/ noncomputable section open Matrix namespace InvariantIsing def gaussianPatternScaledColumn {N m : ℕ} (z : EuclideanSpace ℝ (Fin N × Fin m)) (j : Fin m) : Fin N → ℝ := (Real.sqrt N)⁻¹ • gaussianGramRawColumn z j def gaussianGramLeaveResolvent {N m : ℕ} (t : ℝ) (z : EuclideanSpace ℝ (Fin N × Fin m)) (j : Fin m) : Matrix (Fin N) (Fin N) ℝ := (t • (1 : Matrix (Fin N) (Fin N) ℝ)+gaussianGramLeaveOneOut z j)⁻¹ lemma gaussianPatternScaledColumn_outer {N m : ℕ} (z : EuclideanSpace ℝ (Fin N × Fin m)) (j : Fin m) : vecMulVec (gaussianPatternScaledColumn z j) (gaussianPatternScaledColumn z j) = (1/(N : ℝ)) • vecMulVec (gaussianGramRawColumn z j) (gaussianGramRawColumn z j) := by have he : ((Real.sqrt (N : ℝ))⁻¹)^2 = 1/(N : ℝ) := by rw [inv_pow,Real.sq_sqrt (Nat.cast_nonneg N),one_div] ext i k simp only [gaussianPatternScaledColumn,Matrix.vecMulVec_apply,Matrix.smul_apply,Pi.smul_apply,smul_eq_mul] calc _ = ((Real.sqrt (N : ℝ))⁻¹)^2*(gaussianGramRawColumn z j i*gaussianGramRawColumn z j k) := by ring _ = _ := by rw [he] lemma gaussianGramLeaveShift_posDef {N m : ℕ} {t : ℝ} (ht : 0 < t) (z : EuclideanSpace ℝ (Fin N × Fin m)) (j : Fin m) : (t • (1 : Matrix (Fin N) (Fin N) ℝ)+gaussianGramLeaveOneOut z j).PosDef := (Matrix.PosDef.one.smul ht).add_posSemidef (gaussianGramLeaveOneOut_posSemidef z j) lemma gaussianGramLeaveResolvent_quadratic {N m : ℕ} {t : ℝ} (ht : 0 < t) (z : EuclideanSpace ℝ (Fin N × Fin m)) (j : Fin m) : let x := gaussianPatternScaledColumn z j x ⬝ᵥ (gaussianGramResolvent t z *ᵥ x) = (x ⬝ᵥ (gaussianGramLeaveResolvent t z j *ᵥ x))/(1+x ⬝ᵥ (gaussianGramLeaveResolvent t z j *ᵥ x)) := by have h := positive_rankOne_quadratic _ (gaussianGramLeaveShift_posDef ht z j) (gaussianPatternScaledColumn z j) rw [gaussianPatternScaledColumn_outer,add_assoc,← gaussianGramLeaveOneOut_decomposition] at h exact h lemma gaussianGramLeaveResolvent_trace {N m : ℕ} {t : ℝ} (ht : 0 < t) (z : EuclideanSpace ℝ (Fin N × Fin m)) (j : Fin m) : let x := gaussianPatternScaledColumn z j (gaussianGramLeaveResolvent t z j).trace-(gaussianGramResolvent t z).trace = ((gaussianGramLeaveResolvent t z j *ᵥ x) ⬝ᵥ (gaussianGramLeaveResolvent t z j *ᵥ x))/ (1+x ⬝ᵥ (gaussianGramLeaveResolvent t z j *ᵥ x)) := by have h := positive_rankOne_trace_difference _ (gaussianGramLeaveShift_posDef ht z j) (gaussianPatternScaledColumn z j) rw [gaussianPatternScaledColumn_outer,add_assoc,← gaussianGramLeaveOneOut_decomposition] at h exact h end InvariantIsing end end OAI